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@ARTICLE{Xie:303503,
      author       = {R. Xie$^*$ and S. Sha$^*$ and H. Brenner$^*$ and B.
                      Schöttker$^*$},
      title        = {{C}irculating inflammation-related proteome improves
                      cardiovascular risk prediction. {R}esults from two large
                      {E}uropean cohort studies.},
      journal      = {European journal of epidemiology},
      volume       = {nn},
      issn         = {0393-2990},
      address      = {[Cham]},
      publisher    = {Springer Nature Switzerland AG},
      reportid     = {DKFZ-2025-01694},
      pages        = {nn},
      year         = {2025},
      note         = {#EA:C070#LA:C070# / epub},
      abstract     = {Inflammation plays a crucial role in cardiovascular disease
                      (CVD), but the value of inflammation-related proteins in
                      predicting major adverse cardiovascular events (MACE) is
                      unclear. This study evaluated whether incorporating
                      inflammation-related proteins into the SCORE2 model improves
                      10-year MACE risk prediction.This study included 47,382
                      participants from the UK Biobank and 4,135 participants from
                      the German ESTHER study without prior CVD or diabetes. We
                      tested C-reactive protein (CRP) and 73 inflammation-related
                      proteins measured with Olink® panels. Biomarker selection
                      was performed using least absolute shrinkage and selection
                      operator (LASSO) regression with bootstrapping separately
                      for males and females. Selected proteins were added to the
                      SCORE2 model variables. Model performance was evaluated
                      using Harrell's C-index, net reclassification index (NRI),
                      and integrated discrimination index (IDI).Seven
                      inflammation-related proteins but not CRP were selected,
                      including two for both sexes, three specifically for males,
                      and two specifically for females. Incorporating these
                      proteins significantly improved the C-index $(95\%$
                      confidence interval $(95\%CI))$ of the refitted SCORE2 model
                      from 0.716 (0.698, 0.734) to 0.750 (0.732, 0.768) in
                      internal validation in the UK Biobank and from 0.677 (0.644,
                      0.710) to 0.713 (0.681, 0.745) in external validation in the
                      ESTHER study. The NRI with $95\%CI$ was $12.4\%$ $(5.2\%,$
                      $16.3\%)$ in internal validation and $4.2\%$ $(0.5\%,$
                      $23.6\%)$ in external validation. The IDI also improved
                      significantly.Incorporating inflammation-related proteins
                      into the SCORE2 model significantly improves the prediction
                      of 10-year MACE risk among individuals without prior CVD or
                      diabetes. Measuring these proteins may enhance risk
                      stratification in clinical practice.},
      keywords     = {Cardiovascular disease (Other) / Inflammation (Other) /
                      Proteins (Other) / Proteomics (Other) / Risk prediction
                      (Other)},
      cin          = {C070},
      ddc          = {610},
      cid          = {I:(DE-He78)C070-20160331},
      pnm          = {313 - Krebsrisikofaktoren und Prävention (POF4-313)},
      pid          = {G:(DE-HGF)POF4-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:40801988},
      doi          = {10.1007/s10654-025-01285-y},
      url          = {https://inrepo02.dkfz.de/record/303503},
}